The Complete Course: Artificial Intelligence From Scratch (Udemy.com)
Learn the Essential Concepts of the AI like Neural Networks, Classification, Regression and Optimization Using Python.
Created by: Sobhan N.
Produced in 2018
What you will learn
- Learn the basic of Artificial Intelligence from scratch.
- Learn how Neural Networks work.
- Program Multilayer Perceptron Network from scratch in python.
- You'll know how recurrent neural networks work.
- You'll learn how to create LSTM networks using python and Keras
- You'll know how to forecast Google stock price with high accuracy
- Use k Nearest Neighbor classification method to classify datasets.
- Classify datasets by using Support Vector Machine method
- Understand main concept behind Support Vector Machine method.
- Classify Handwritten Images by Logistic classification method
- You'll know how Linear Regression work.
- You'll know how Multi Linear Regression work using sklearn and Python.
- Program Logistic Regression from scratch in python.
- Build Model to Predict CO2 and Global Temperature by Polynomial Regression.
- You'll know the ideas behind Genetic Algorithm.
- You'll k
Quality Score
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Course Depth & Coverage
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Overall Score : 72 / 100
Course Description
Do you like to learn how to forecast economic time series like stock price or indexes with high accuracy?
Do you like to know how to predict weather data like temperature and wind speed with a few lines of codes?
Do you like to classify Handwritten digits more accurately ?
If you say Yes so read more ...
In computer science, Artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals. In this you are going to learn essential concepts of AI using Python:
Neural Networks
Classification Methods
Regression Analysis
Optimization Methods
_____________________________________________________________________________________________________________________
in the First, Second,Third sections you will learn Neural Networks
You will learn how to make Recurrent Neural Networks using Keras and LSTMs:
Next you will learn how to classify well known datasets into with high accuracy using k-Nearest Neighbors, Bayes, Support Vector Machine and Logistic Regression.
In the 4th section you learn how to use python and k-Nearest Neighbors to estimate output of your system. In this section you can classify:
In the 6th section you learn how to use python to estimate output of your system. In this section you can estimate output of:
After it we are going to learn regression methods like Linear, Multi-Linear and Polynomial Regression.
In the 8th section you learn how to use Linear Regression and python to estimate output of your system. In this section you can estimate output of:
Finally I want to learn you theory behind bio inspired algorithms like Genetic Algorithm and Particle Swarm Optimization Method. You'll learn basic genetic operators like mutation crossover and selection and how they are work. You'll learn basic concepts of Particle Swarm and how they are work.
In the 11th section you will learn how to use python and deap library to solve optimization problem and find Min/Max points for your desired functions using Genetic Algorithm.
Do you like to know how to predict weather data like temperature and wind speed with a few lines of codes?
Do you like to classify Handwritten digits more accurately ?
If you say Yes so read more ...
In computer science, Artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals. In this you are going to learn essential concepts of AI using Python:
Neural Networks
Classification Methods
Regression Analysis
Optimization Methods
_____________________________________________________________________________________________________________________
in the First, Second,Third sections you will learn Neural Networks
You will learn how to make Recurrent Neural Networks using Keras and LSTMs:
- you'll learn how to use python and Keras to forecast google stock price .
- you'll know how to use python and Keras to predict NASDAQ Index precisely.
- you'll learn how to use python and Keras to forecast New York temperature with low error.
- you'll know how to use python and Keras to predict New York Wind speed accurately.
- Logic Gates
- Vehicles Datasets
- Generated Datasets
- Random datasets
- Forecast International Airline passengers
- Los Angeles temperature forecasting
Next you will learn how to classify well known datasets into with high accuracy using k-Nearest Neighbors, Bayes, Support Vector Machine and Logistic Regression.
In the 4th section you learn how to use python and k-Nearest Neighbors to estimate output of your system. In this section you can classify:
- Python Dataset
- IRIS Flowers
- Make your own k Nearest Neighbors Algorithm
- IRIS Flowers
- Pima Indians Diabetes Database
- Make your own Naive Bayes Algorithm
In the 6th section you learn how to use python to estimate output of your system. In this section you can estimate output of:
- Random dataset
- IRIS Flowers
- Handwritten Digits
- Blobs
- IRIS Flowers
- Handwritten Digits
After it we are going to learn regression methods like Linear, Multi-Linear and Polynomial Regression.
In the 8th section you learn how to use Linear Regression and python to estimate output of your system. In this section you can estimate output of:
- Random Number
- Diabetes
- Boston House Price
- Built in Dataset
- Global Temprature
- Total Sales of Advertising Campaign
- Built in Dataset
- Nonlinear Sine Function
- Python Dataset
- Temperature and CO2
Finally I want to learn you theory behind bio inspired algorithms like Genetic Algorithm and Particle Swarm Optimization Method. You'll learn basic genetic operators like mutation crossover and selection and how they are work. You'll learn basic concepts of Particle Swarm and how they are work.
In the 11th section you will learn how to use python and deap library to solve optimization problem and find Min/Max points for your desired functions using Genetic Algorithm.
- you'll learn theory of Genetic Algorithm Optimization Method
- you'll know how to use python and deap to optimize simple function precisely.
- you'll learn how to use python and deap to find optimum point of complicated Trigonometric function.
- you'll know how to use python and deap to solve Travelling Salesman Problem (TSP) accurately.
- you'll learn theory of Particle Swarm Optimization Method
- you'll know how to use python and deap to optimize simple function precisely.
- you'll learn how to use python and deap to find optimum point of complicat
Instructor Details
- 3.6 Rating
7 Reviews
Sobhan N.
My passion is teaching people through online courses. I love learning new skills, and since 2015 have been teaching people like you everything. I create courses that teach you how to become the better version of yourself with all kinds of skills.
What would you like to learn?
Would you like to learn Artificial Intelligence in python?
Would you like to make money creating landing pages?
Would you like to build your own AI programs & do something awesome for you?
Would you like to learn Xamarin to make both iOS/Android apps?
Would you like to learn how to write codes in HTML5 and CSS3?
Would you like to learn MATLAB the scientific language for researchers?
If you want to do any of these things, just enroll in the course. You have a 30-day money back guarantee if you don't like it. And I'm always improving my courses so that they stay up to date and the best that they can be. Check them out, and enroll today!
__________________________________________________________________________
About Sobhan N:
I have PhD degree in Electrical Engineering and like to learn anything about Electronics, Programming and Artificial Intelligence. I like electronic stuff like Arduino, Raspberry Pi and microcontrollers.
My passion is
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